Using Semantic Interoperability to Raise Awareness of COVID-19 Related Menstrual Cycle Changes

Autor: Muzoora, MR, Poyraz, R, Schaarschmidt, M, Vorisek, CN, Thun, S
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: 67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 13. Jahreskongress der Technologie-und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF); 20220821-20220825; sine loco [digital]; DOCAbstr. 115 /20220819/
DOI: 10.3205/22gmds047
Popis: Introduction: More than two years since the beginning of the pandemic, there is still a lack of research investigating women’s health [ref:1]. However, according to previous literature, women have experienced menstrual changes following COVID-19 vaccinations [ref:2], [ref:3], [for full text, please go to the a.m. URL]
Databáze: OpenAIRE